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@article{177265,
        author = {Mounish Rajput and Mr. Mukesh Parmar and Ms. Shreya Patel},
        title = {Leveraging Artificial Intelligence for Enhanced Sales Forecasting},
        journal = {International Journal of Innovative Research in Technology},
        year = {2025},
        volume = {11},
        number = {12},
        pages = {430-437},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=177265},
        abstract = {The contemporary-day commercial enterprise surroundings is marked via way of means of giant dynamism and unpredictability. In this type of context, generating specific income forecasts isn't always only a monetary necessity however a strategic device for higher useful resource distribution, monetary chance mitigation, and fostering sustainable sales growth. This studies paper explores the developing discipline of AI-pushed income forecasting, that specializes in using algorithms to create a graphical person interface that offers more advantageous income insights. This examine examines the strengths and weaknesses of those strategies regarding forecasting accuracy. Unlike conventional techniques that regularly war with complexities, AI fashions can examine massive datasets and locate diffused styles in consumer behavior, main to greater specific and dependable forecasts. Additionally, a comparative evaluation becomes performed on ARIMA and Prophet algorithms for statistics handling, in addition to Matplotlib and Seaborn for graphical illustration to facilitate higher comprehension.
This examine highlights the transformative capability of AI to enhance forecast accuracy and permit income agencies to make statistics-pushed choices that increase income performance. By leveraging AI, income groups can advantage a deeper knowledge of consumer behavior, spot rising opportunities, and navigate the complicated present day commercial enterprise panorama with improved agility and precision.},
        keywords = {Sales forecasting using Artificial Intelligence, AI- Diven Sales forecasting, Sales forecasting accuracy, Sales Prediction using AI-Driven Techniques, ARIMA, Mathplotlib, Seaborn, Supervised Machine learning algorithms},
        month = {May},
        }